Grants and Contributions:

Title:
A Data-Driven Approach for Electric Bus Charging Demand Modelling
Agreement Number:
EGP
Agreement Value:
$25,000.00
Agreement Date:
Mar 7, 2018 -
Organization:
Natural Sciences and Engineering Research Council of Canada
Location:
Alberta, CA
Reference Number:
GC-2017-Q4-01065
Agreement Type:
Grant
Report Type:
Grants and Contributions
Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:
Liang, Hao (University of Alberta)
Program:
Engage Grants for universities
Program Purpose:

Electrification of the public transit services is crucial for Canada's long-term strategy to reduce transportationx000D
related greenhouse gas (GHG) emissions. St. Albert Transit (StAT) is leading this effort by actively replacingx000D
its diesel bus fleet with the state-of-the-art electric buses. On May 23, 2017, St. Albert Transit celebrated thex000D
arrival of three BYD K9 electric buses, while another four electric buses are expected to join the fleet in priorx000D
to the end of March 2018. Although the electric buses are beneficial for reducing GHG emissions, charging ax000D
fleet of electric buses can significantly increase the electrical loading of the bus terminals. Since upgrading thex000D
power supply infrastructures can involve high monetary expenditure which, in turn, increases the public transitx000D
fares, an optimal planning of system upgrade and the smart charging of electric buses are of paramountx000D
importance. In this project, we will investigate a fundamental problem for the efficient planning and operationx000D
of public transit services with electric buses, i.e., the mathematical modelling of electric bus charging demand.x000D
In particular, a data-driven approach will be developed in this project for electric bus charging demandx000D
modelling, facilitated by the availability of a large number of measurements from various onboard sensors ofx000D
electric buses.